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import gradio as gr
import requests
import os
# GPT-J-6B API
API_URL = "https://api-inference.huggingface.co/models/EleutherAI/gpt-j-6B"
#HF_TOKEN = os.environ["HF_TOKEN"]
#headers = {"Authorization": f"Bearer {HF_TOKEN}"}
prompt = """
Bilbo is a hobbit rogue who wears a brown cloak and carries a ring.
Bremen is a human wizard, he wears a blue robe and carries a wand.
"""
examples = [["river"], ["night"], ["trees"],["table"],["laughs"]]
def npc_generate(name,race,characterClass):
desc="{name} is a {race} {characterClass}".format(name=name,race=race,characterClass=characterClass)
p = prompt + "\n"+desc
print(f"*****Inside poem_generate - Prompt is :{p}")
json_ = {"inputs": p,
"parameters":
{
"top_p": 0.9,
"temperature": 1.1,
"max_new_tokens": 50,
"return_full_text": False,
}}
#response = requests.post(API_URL, headers=headers, json=json_)
response = requests.post(API_URL, json=json_)
output = response.json()
print(f"If there was an error? Reason is : {output}")
output_tmp = output[0]['generated_text']
print(f"GPTJ response without splits is: {output_tmp}")
#poem = output[0]['generated_text'].split("\n\n")[0] # +"."
if "\n\n" not in output_tmp:
if output_tmp.find('.') != -1:
idx = output_tmp.find('.')
poem = output_tmp[:idx+1]
else:
idx = output_tmp.rfind('\n')
poem = output_tmp[:idx]
else:
poem = output_tmp.split("\n\n")[0] # +"."
poem = poem.replace('?','')
print(f"Poem being returned is: {poem}")
return desc+poem
def poem_to_image(poem):
print("*****Inside Poem_to_image")
poem = " ".join(poem.split('\n'))
poem = poem + " oil on canvas."
steps, width, height, images, diversity = '50','256','256','1',15
iface = gr.Interface.load("spaces/multimodalart/latentdiffusion")
print("about to die",iface,dir(iface))
img=iface(poem, steps, width, height, images, diversity)[0]
return img
demo = gr.Blocks()
with demo:
gr.Markdown("<h1><center>Generate Short Poem along with an Illustration</center></h1>")
gr.Markdown(
"<div>Enter a single word you would want GPTJ-6B to write Poetry 🎤 on.</div>"
"<div>Generate an illustration 🎨 provided by Latent Diffusion model.</div><div>GPJ-6B is a 6 Billion parameter autoregressive language model. It generates the Poem based on how it has been 'prompt-engineered' 🤗 The complete text of generated poem then goes in as a prompt to the amazing Latent Diffusion Art space by <a href='https://huggingface.co/spaces/multimodalart/latentdiffusion' target='_blank'>Multimodalart</a>.</div>Please note that some of the Poems/Illustrations might not look at par, and well, this is what happens when you can't 'cherry-pick' and post 😁 <div> Some of the example words that you can use are 'river', 'night', 'trees', 'table', 'laughs' or maybe on similar lines to get best results!"
)
with gr.Row():
input_name = gr.Textbox(placeholder="Drizzt")
input_race = gr.Textbox(placeholder="dark elf")
input_class = gr.Textbox(placeholder="ranger")
poem_txt = gr.Textbox(lines=7)
output_image = gr.Image(type="filepath", shape=(256,256))
b1 = gr.Button("Generate NPC")
b2 = gr.Button("Generate Image")
b1.click(npc_generate, inputs=[ input_name,input_race,input_class], outputs=poem_txt)
b2.click(poem_to_image, poem_txt, output_image)
#examples=examples
demo.launch(enable_queue=True, debug=True) |